Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
IndiaAI Mission Chief Operating Officer Sudeep Shrivastava advocated for India's inclusion in global discussions on AI safety regulations. He said such rules should not be decided solely by the US and China. An IIT Jodhpur professor also flagged a lack of indigenous AI safety benchmarks in India.
Read the original →In 2025, the AI Model Incident Response Services Market was valued at USD 0.6 Bn. It is projected to grow at a CAGR of 30.8%, reaching USD 8.5 Bn by 2035.
Read the original →The organizations that succeed over the next decade will be the ones that build security architectures capable of governing AI.
Read the original →AI developers would face legal repercussions when their AI systems engage in cyber attacks or other malicious conduct under legislation offered as a "discussion draft" by Rep. Lori Trahan (D., Mass.).
Read the original →A directory traversal and a sandbox escape affect the open-source agent-database bridge. The report says unauthenticated RCE at the orchestration layer cascades to every downstream integration.
Read the original →Taiwan's chip giant posted record revenue of NT$511.86B. The result was driven by the AI boom.
Read the original →Samsung Electronics estimates a nearly nine-fold year-over-year increase in quarterly operating profit, though the record result still fell short of lofty expectations. The world's largest memory chipmaker posted a preliminary operating profit of 107.4T won ($80.1B) for the quarter.
Read the original →In Thomson Reuters v. ROSS, the Third Circuit affirmed the district court's partial summary judgment for Thomson Reuters. It held that ROSS did not make fair use of Westlaw headnotes when it used headnote-derived training memoranda to build a competing non-generative AI legal-research platform.
Read the original →Professors and scholars nationwide were involved in a 2025 class-action settlement over the use of copyrighted books and research to train Anthropic's AI models.
Read the original →Ta-Nehisi Coates, Junot Diaz, Laura Lippman and other authors are asking a federal judge to authorize an appeal of his pro-Meta ruling. The dispute concerns the company's alleged use of pirated books to train Llama.
Read the original →The description addresses the question of whether AI will kill all human beings, a widely debated concern. It distinguishes between hypothetical doomsday scenarios rooted in unaligned superintelligent systems and current narrow, task-specific AI tools operating under strict human oversight.
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